Real use cases for AI agents.
End-to-end patterns. One job at a time — write the prompt, see what the agent does, schedule it to run on its own.
Use case posts pick one job — track a flight fare, watch a flight status, monitor an airport — and walk through it from prompt to scheduled cron. Each post shows what you see from chat, what the agent sees from the API, and how to turn a one-off query into a recurring watcher that only pings you when something meaningful changes. Less orientation, more recipe.
OpenClaw Use Case: Real-Time Flight Fare Tracking
Connect agent-data to OpenClaw, ask for the cheapest JFK → SFO nonstop, then schedule the same check to run three times a day and ping you only when the price actually moves.
OpenClaw Use Case: Monitor Hacker News for Mentions of Your Product
Connect agent-data to OpenClaw, write a relevance rubric, and schedule a recurring monitor that stays quiet unless a Hacker News thread actually matters for your product or category.
OpenClaw Use Case: Automated Job Search
Connect agent-data to OpenClaw, describe the roles you want, and schedule a recurring monitor that pulls full posting detail only for genuinely relevant matches.
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